KEY DRIVER AND BARRIER OF RUBBER COMPOUND TECHNOLOGY ADOPTION AMONG FINISHED RUBBER PRODUCT SMES: A MULTIPLE CASE STUDIES
DOI:
https://doi.org/10.24961/j.tek.ind.pert.2025.35.3.217Abstract
This study investigates the drivers and barriers to the adoption of rubber compounding technology among small and medium enterprises (SMEs) in Indonesia's finished rubber product sector. As the world's second-largest natural rubber producer, Indonesia has significant potential for growth in this sector. However, technology adoption in SMEs faces several challenges, primarily due to resource constraints and perceptions of technology, organizational, and environmental conditions. A qualitative multiple case study method was employed, with data collected through semi-structured interviews with business owners or top management. Analysis, conducted through within-case and cross-case comparisons, revealed that while technological complexity acts as a significant barrier, human expertise is a key driver of successful adoption. The findings highlight the importance of strategic investment in human capital and phased implementation strategies to reduce complexity. These insights contribute to discussions on technology adoption success factors in SMEs. Managerially, they provide policymakers and industry leaders with practical guidance on supporting SMEs to enhance competitiveness and drive sector growth.
Keywords: technology adoption, SMEs, diffusion of technology, Technology-Organization-Environment, multiple case study
References
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Pathan ZH, Jianqiu Z, Akram U, Khan MK, Latif Z, Tunio MZ. 2017. Innovation-diffusion determinants of cloud-computing adoption by Pakistani SMEs. Human Systems Management. 36(3):197–209.doi:https://doi.org/10.3233/hsm-171794. [diunduh 2020 Jan 7]
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Rosenzweig ED. 2009. A contingent view of e-collaboration and performance in manufacturing. Journal of Operations Management. 27(6):462–478.doi:https://doi.org/10.1016/j.jom.2009.03.001. [diunduh 2021 Mei 20]
Setiyani L, Dikky Andreansyah, Gunawan R, Arif Maulana Yusuf, Dudi Awalludin. 2023 Jan 1. Analysis Adoption e-Commerce SMEs Using Innovation Diffusion Theory Framework (Case Report: Karawang District). :477–487.doi:https://doi.org/10.2991/978-94-6463-076-3_37.
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Shadish WR, Cook TD, Campbell DT. 2002. Experimental and quasi-experimental designs for generalized causal inference. Belmont, Ca: Wadsworth Cengage Learning.
Sharma P, Shukla DM, Raj A. 2023. Blockchain adoption and firm performance: The contingent roles of intangible capital and environmental dynamism. International Journal of Production Economics. 256:108727.doi:https://doi.org/10.1016/j.ijpe.2022.108727.
Suharman S, Harun M. 2017. Pembuatan seal tabung gas karet alam dengan filler pasir kuarsa sebagai pengganti karbon hitam. Majalah Kulit, Karet, dan Plastik. 33(1):35.doi:https://doi.org/10.20543/mkkp.v33i1.2123.
Tornatzky LG, Fleischer M, Chakrabarti AK. 1990. The Processes of Technological Innovation. Free Press.
Wang Y-M, Wang Y-S, Yang Y-F. 2010. Understanding the determinants of RFID adoption in the manufacturing industry. Technological Forecasting and Social Change. 77(5):803–815.doi:https://doi.org/10.1016/j.techfore.2010.03.006.
Yin RK. 2018. Case Study Research and Applications: Design and Methods. ed ke-6. Thousand Oaks, California: Sage Publications.
Zamani SZ. 2022. Small and Medium Enterprises (SMEs) facing an evolving technological era: a systematic literature review on the adoption of technologies in SMEs. European Journal of Innovation Management. 25(6).doi:https://doi.org/10.1108/ejim-07-2021-0360.
Zhu K, Kraemer KL, Xu S. 2006. The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business. Management Science. 52(10):1557–1576.doi:https://doi.org/10.1287/mnsc.1050.0487.
Andersen TJ. 2020. Managing in Dynamic, Complex and Unpredictable Business Contexts. Adapting to Environmental Challenges: New Research in Strategy and International Business.:1–17.doi:https://doi.org/10.1108/978-1-83982-476-020200001.
Awa HO, Ukoha O, Emecheta BC. 2016. Using T-O-E theoretical framework to study the adoption of ERP solution. Liu S, editor.[editorial]. Cogent Business & Management. 3(1).doi:https://doi.org/10.1080/23311975.2016.1196571.
Baig MI, Shuib L, Yadegaridehkordi E. 2021. A Model for Decision-Makers’ Adoption of Big Data in the Education Sector. Sustainability. 13(24):13995.doi:https://doi.org/10.3390/su132413995.
Biro Pusat Statistik. 2021. Statistik karet Indonesia 2021. Jakarta: Biro Pusat Statistik.
Byrne BM. 2010. Structural equation modeling with Amos : Basic concepts, applications, and programming. New York: Routledge, Taylor & Francis Group.
Chiu C-Y, Chen S, Chen C-L. 2017. An integrated perspective of TOE framework and innovation diffusion in broadband mobile applications adoption by enterprises. International Journal of Management, Economics and Social Sciences. 6(1):14–39. [diunduh 2024 Okt 25]
de Ruyter K, Wetzels M, Kleijnen M. 2001. Customer adoption of e‐service: an experimental study. International Journal of Service Industry Management. 12(2):184–207.doi:https://doi.org/10.1108/09564230110387542.
Dilip P. 2015. Building Technological Innovation Capability in the High Tech SMEs: Technology Scanning Perspective . Di dalam: Management International Conference. hlm. 185–94.
Eisenhardt KM. 1989. Building Theories from Case Study Research. The Academy of Management Review. 14(4):532–550.doi:https://doi.org/10.2307/258557.
Fauzi IR. 2013. Alternatif strategi pengembangan industri barang jadi karet di indonesia. Warta Perkaretan. 32(2):55.doi:https://doi.org/10.22302/ppk.wp.v32i2.37.
Ferreira A, Franco M. 2019. The influence of strategic alliances on human capital development. EuroMed Journal of Business. 15(1):65–85.doi:https://doi.org/10.1108/emjb-04-2019-0052.
Gutierrez A, Boukrami E, Lumsden R. 2015. Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK. Journal of Enterprise Information Management. 28(6):788–807.doi:https://doi.org/10.1108/jeim-01-2015-0001.
Hair JF, Hult TM, Ringle C, Marko Sarstedt. 2017. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications.
Kementerian Perindustrian. 2021. Booklet informasi industri edisi I 2021. Jakarta: Pusat data dan Informasi – Kementerian Perindustrian.
Kendall JD, Tung LL, Chua KH, Ng CHD, Tan SM. 2001. Receptivity of Singapore’s SMEs to electronic commerce adoption. The Journal of Strategic Information Systems. 10(3):223–242.doi:https://doi.org/10.1016/s0963-8687(01)00048-8. [diunduh 2020 Jul 6]
López-Gamero MD, Molina-Azorín JF, Claver-Cortés E. 2011. Environmental uncertainty and environmental management perception: A multiple case study. Journal of Business Research. 64(4):427–435.doi:https://doi.org/10.1016/j.jbusres.2010.11.009.
Malik S, Chadhar M, Vatanasakdakul S, Chetty M. 2021. Factors Affecting the Organizational Adoption of Blockchain Technology: Extending the Technology–Organization–Environment (TOE) Framework in the Australian Context. Sustainability. 13(16):9404.doi:https://doi.org/10.3390/su13169404.
Mamun AA. 2018. Diffusion of innovation among Malaysian manufacturing SMEs. European Journal of Innovation Management. 21(1):113–141.doi:https://doi.org/10.1108/ejim-02-2017-0017.
Marizka DA, Arkeman Y, Maarif MS. 2014. Pengembangan inovasi pemberdayaan ikm barang jadi karet. Jurnal Teknik Industri. 4(2).doi:https://doi.org/10.25105/jti.v4i2.1552.
Miller D, Friesen PH. 1983. Strategy-making and environment: The third link. Strategic Management Journal. 4(3):221–235.doi:https://doi.org/10.1002/smj.4250040304.
Milliken FJ. 1987. Three Types of Perceived Uncertainty about the Environment: State, Effect, and Response Uncertainty. The Academy of Management Review. 12(1):133–143.doi:https://doi.org/10.2307/257999.
Njie B, Asimiran S. 2014. Case Study as a Choice in Qualitative Methodology. IOSR Journal of Research & Method in Education (IOSRJRME). 4(3):35–40.doi:https://doi.org/10.9790/7388-04313540.
Oliveira T, Martins R, Sarker S, Thomas M, Popovič A. 2019. Understanding SaaS adoption: The moderating impact of the environment context. International Journal of Information Management. 49:1–12.doi:https://doi.org/10.1016/j.ijinfomgt.2019.02.009.
Patel PC, Azadegan A, Ellram LM. 2013. The Effects of Strategic and Structural Supply Chain Orientation on Operational and Customer-Focused Performance. Decision Sciences. 44(4):713–753.doi:https://doi.org/10.1111/deci.12034.
Pathan ZH, Jianqiu Z, Akram U, Khan MK, Latif Z, Tunio MZ. 2017. Innovation-diffusion determinants of cloud-computing adoption by Pakistani SMEs. Human Systems Management. 36(3):197–209.doi:https://doi.org/10.3233/hsm-171794. [diunduh 2020 Jan 7]
Perdana RP. 2020. Kinerja Ekonomi Karet dan Strategi Pengembangan Hilirisasinya di Indonesia. Forum penelitian Agro Ekonomi. 37(1):25.doi:https://doi.org/10.21082/fae.v37n1.2019.25-39. [diunduh 2022 Mar 18]
Qudrat-Ullah H, Khan RA. 2021. Adoption of LMS in Higher Educational Institutions of the Middle East. Springer International Publishing. [diunduh 2024 Mar 20]
Ramdani B, Kawalek P, Lorenzo O. 2009. Predicting SMEs’ adoption of enterprise systems. Dwivedi YK, editor.[editorial]. Journal of Enterprise Information Management. 22(1/2):10–24.doi:https://doi.org/10.1108/17410390910922796.
Rogers EM. 2003. Diffusion of Innovations. ed ke-5. New York: Free Press.
Romanus Lucian Dimoso, Dickson Utonga. 2024. A systematic review of digital technology adoption in small and medium-sized enterprises: implications for performance in developing countries. International Journal of Development and Management Review. 19(1):58–71.doi:https://doi.org/10.4314/ijdmr.v19i1.4.
Rosenzweig ED. 2009. A contingent view of e-collaboration and performance in manufacturing. Journal of Operations Management. 27(6):462–478.doi:https://doi.org/10.1016/j.jom.2009.03.001. [diunduh 2021 Mei 20]
Setiyani L, Dikky Andreansyah, Gunawan R, Arif Maulana Yusuf, Dudi Awalludin. 2023 Jan 1. Analysis Adoption e-Commerce SMEs Using Innovation Diffusion Theory Framework (Case Report: Karawang District). :477–487.doi:https://doi.org/10.2991/978-94-6463-076-3_37.
Seyedeh Khadijeh Taghizadeh, Syed Abidur Rahman, Davoud Nikbin, Malgorzata Radomska, Shaghayegh Maleki Far. 2023 Nov 20. Dynamic capabilities of the SMEs for sustainable innovation performance: role of environmental turbulence. Journal of organizational effectiveness.doi:https://doi.org/10.1108/joepp-04-2023-0166.
Shadish WR, Cook TD, Campbell DT. 2002. Experimental and quasi-experimental designs for generalized causal inference. Belmont, Ca: Wadsworth Cengage Learning.
Sharma P, Shukla DM, Raj A. 2023. Blockchain adoption and firm performance: The contingent roles of intangible capital and environmental dynamism. International Journal of Production Economics. 256:108727.doi:https://doi.org/10.1016/j.ijpe.2022.108727.
Suharman S, Harun M. 2017. Pembuatan seal tabung gas karet alam dengan filler pasir kuarsa sebagai pengganti karbon hitam. Majalah Kulit, Karet, dan Plastik. 33(1):35.doi:https://doi.org/10.20543/mkkp.v33i1.2123.
Tornatzky LG, Fleischer M, Chakrabarti AK. 1990. The Processes of Technological Innovation. Free Press.
Wang Y-M, Wang Y-S, Yang Y-F. 2010. Understanding the determinants of RFID adoption in the manufacturing industry. Technological Forecasting and Social Change. 77(5):803–815.doi:https://doi.org/10.1016/j.techfore.2010.03.006.
Yin RK. 2018. Case Study Research and Applications: Design and Methods. ed ke-6. Thousand Oaks, California: Sage Publications.
Zamani SZ. 2022. Small and Medium Enterprises (SMEs) facing an evolving technological era: a systematic literature review on the adoption of technologies in SMEs. European Journal of Innovation Management. 25(6).doi:https://doi.org/10.1108/ejim-07-2021-0360.
Zhu K, Kraemer KL, Xu S. 2006. The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business. Management Science. 52(10):1557–1576.doi:https://doi.org/10.1287/mnsc.1050.0487.
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2025-12-30
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KEY DRIVER AND BARRIER OF RUBBER COMPOUND TECHNOLOGY ADOPTION AMONG FINISHED RUBBER PRODUCT SMES: A MULTIPLE CASE STUDIES. (2025). Jurnal Teknologi Industri Pertanian, 35(3), 217-228. https://doi.org/10.24961/j.tek.ind.pert.2025.35.3.217
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